Cooperative adaptive output regulation for a class of nonlinear uncertain multi-agent systems with unknown leader

被引:98
|
作者
Su, Youfeng [1 ]
Huang, Jie [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Cooperative control; Nonlinear multi-agent systems; Robust control; Adaptive control; Internal model; COORDINATION;
D O I
10.1016/j.sysconle.2013.02.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we study the cooperative global adaptive output regulation problem for a class of nonlinear uncertain multi-agent systems subject to an uncertain leader system. In comparison with the case where the leader system is known exactly, we need to combine adaptive control and robust control techniques to deal with the unknown parameters in the leader system. By employing a distributed internal model for the multi-agent system, we first convert the problem into a global adaptive robust stabilization problem of a distributed augmented system. Then we further solve the global adaptive stabilization problem of the augmented system by a distributed adaptive control law. Finally, we show that the unknown parameters in the leader system can be exactly estimated provided that the distributed internal model is of minimal order. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:461 / 467
页数:7
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